Seasonal drought prediction: Advances, challenges, and future prospects
Drought prediction is of critical importance to early warning for drought managements. This
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …
Bridging observations, theory and numerical simulation of the ocean using machine learning
Progress within physical oceanography has been concurrent with the increasing
sophistication of tools available for its study. The incorporation of machine learning (ML) …
sophistication of tools available for its study. The incorporation of machine learning (ML) …
NASA global daily downscaled projections, CMIP6
We describe the latest version of the NASA Earth Exchange Global Daily Downscaled
Projections (NEX-GDDP-CMIP6). The archive contains downscaled historical and future …
Projections (NEX-GDDP-CMIP6). The archive contains downscaled historical and future …
Anthropogenic climate change has slowed global agricultural productivity growth
Agricultural research has fostered productivity growth, but the historical influence of
anthropogenic climate change (ACC) on that growth has not been quantified. We develop a …
anthropogenic climate change (ACC) on that growth has not been quantified. We develop a …
Estimating a social cost of carbon for global energy consumption
Estimates of global economic damage caused by carbon dioxide (CO 2) emissions can
inform climate policy 1, 2, 3. The social cost of carbon (SCC) quantifies these damages by …
inform climate policy 1, 2, 3. The social cost of carbon (SCC) quantifies these damages by …
Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China
In this paper, future drought characteristics (frequency, duration and intensity) over China
are analysed by using four climate models from CMIP6 under the seven SSP-RCP (shared …
are analysed by using four climate models from CMIP6 under the seven SSP-RCP (shared …
Combined modeling of US fluvial, pluvial, and coastal flood hazard under current and future climates
This study reports a new and significantly enhanced analysis of US flood hazard at 30 m
spatial resolution. Specific improvements include updated hydrography data, new methods …
spatial resolution. Specific improvements include updated hydrography data, new methods …
Estimating economic damage from climate change in the United States
Estimates of climate change damage are central to the design of climate policies. Here, we
develop a flexible architecture for computing damages that integrates climate science …
develop a flexible architecture for computing damages that integrates climate science …
Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques
DM Jose, AM Vincent, GS Dwarakish - Scientific Reports, 2022 - nature.com
Abstract Multi-Model Ensembles (MMEs) are used for improving the performance of GCM
simulations. This study evaluates the performance of MMEs of precipitation, maximum …
simulations. This study evaluates the performance of MMEs of precipitation, maximum …
Climatologies at high resolution for the earth's land surface areas
High-resolution information on climatic conditions is essential to many applications in
environmental and ecological sciences. Here we present the CHELSA (Climatologies at …
environmental and ecological sciences. Here we present the CHELSA (Climatologies at …